CN110689017A - Filter membrane ID image recognition system - Google Patents
Filter membrane ID image recognition system Download PDFInfo
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- CN110689017A CN110689017A CN201810736643.0A CN201810736643A CN110689017A CN 110689017 A CN110689017 A CN 110689017A CN 201810736643 A CN201810736643 A CN 201810736643A CN 110689017 A CN110689017 A CN 110689017A
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- 239000012528 membrane Substances 0.000 title claims abstract description 30
- 230000011218 segmentation Effects 0.000 claims abstract description 12
- 238000005303 weighing Methods 0.000 claims abstract description 12
- 238000000605 extraction Methods 0.000 claims abstract description 9
- 238000007781 pre-processing Methods 0.000 claims abstract description 7
- 238000013528 artificial neural network Methods 0.000 claims description 6
- 230000007797 corrosion Effects 0.000 claims description 3
- 238000005260 corrosion Methods 0.000 claims description 3
- 238000012545 processing Methods 0.000 claims description 3
- 238000001514 detection method Methods 0.000 claims description 2
- 230000001502 supplementing effect Effects 0.000 claims description 2
- 238000000034 method Methods 0.000 description 7
- 238000010586 diagram Methods 0.000 description 4
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 238000005520 cutting process Methods 0.000 description 2
- 230000003628 erosive effect Effects 0.000 description 2
- 238000001914 filtration Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 239000013589 supplement Substances 0.000 description 2
- 238000007405 data analysis Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 210000003128 head Anatomy 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 238000007619 statistical method Methods 0.000 description 1
- 230000001360 synchronised effect Effects 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/10—Character recognition
- G06V30/14—Image acquisition
- G06V30/148—Segmentation of character regions
- G06V30/153—Segmentation of character regions using recognition of characters or words
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/10—Character recognition
Abstract
The invention provides a filter membrane ID image recognition system which comprises an image acquisition module and an OCR recognition module, wherein the image acquisition module sends data to the OCR recognition module, the image acquisition module and the OCR recognition module are respectively interacted with a main control module, the main control module sends the data to weighing equipment, the OCR recognition module sequentially comprises an image preprocessing module, a character area positioning module and a character extraction module, and the character extraction module sequentially comprises a character segmentation module and a character recognition module. The invention replaces human eye identification by the instrument identification of the code sprayed on the outer ring of the filter membrane, improves the accuracy and efficiency of English letter and number identification on the filter membrane base, and provides the code for weighing equipment, thereby facilitating the coding of the filter membrane according to the ID.
Description
Technical Field
The invention mainly relates to the field of image recognition, in particular to a filter membrane ID image recognition system.
Background
At present, the codes of a plurality of filter membranes are directly sprayed on the outer rings of the filter membranes in a plaintext form, most of the codes are identified by naked eyes of people, but the codes cannot be identified by the current instruments.
The published Chinese invention patent, application number CN201620647243.9, patent name: a filter membrane code recognition system is disclosed as the application day: 20160628, the invention provides a filter coding identification system comprising: the filter membrane code reading module is connected with the filter membrane identification unit through a communication unit; the filter membrane code reading module comprises: the invention relates to a filter membrane centering device and a data acquisition unit, wherein a digital CMOS image sensor is adopted, acquired image data are subjected to data comparison and identification through a remote control end of a communication unit, a filter membrane coding identification system of the invention belongs to a filter membrane weighing system, each filter membrane has a unique code, statistical analysis is carried out on all the filter membranes after weighing, and the data correspond to the unique codes of the filter membranes, so that retrieval data information can be called conveniently at any time, the times of repeated weighing in the data analysis process are reduced, the working efficiency is improved, errors of the filter membrane weight in the repeated weighing process are reduced, and a quick and effective scientific means is provided for data statistics and quality monitoring management of regional sampling.
Disclosure of Invention
The invention provides a filter membrane ID image recognition system, which aims at the defects of the prior art and comprises an image acquisition module 1 and an OCR recognition module 2, wherein the image acquisition module 1 sends data to the OCR recognition module 2, the image acquisition module 1 and the OCR recognition module 2 are respectively interacted with a main control module 3, and the main control module 3 sends the data to a weighing device 4;
the OCR recognition module 2 sequentially comprises an image preprocessing module 5, a character area positioning module 6 and a character extraction module 7;
the character extraction module 7 comprises a character segmentation module 8 and a character recognition module 9 in sequence.
Preferably, in this implementation, the character region positioning module 6 sequentially includes a median filter, a Harris corner detection unit, and an expansion erosion image unit, and the character region positioning module 6 sends data to the character segmentation module 8.
Preferably, the character segmentation module 8 performs binarization processing on the image by using a watershed algorithm.
Preferably, the character recognition module 9 recognizes the single character by using a BP neural network.
Preferably, the image acquisition module 1 uses a camera or a video camera to photograph the surface of the filter film sprayed with the code ID.
Preferably, the image acquisition module 1 is connected to an external display.
Preferably, a light supplement device is arranged on one side of the camera or the camera head.
In use, the process of filter ID image identification is as follows:
s1: firstly, preprocessing a shot filter membrane picture by software, positioning character areas, positioning the areas with characters, cutting the image, detecting a harris angular point algorithm of the image by adopting a median filtering algorithm in the process, then performing expansion corrosion on the image, positioning a rectangular area and an inclination angle of a character string according to prior data, and positioning the position of the character string;
s2: segmenting the characters in the positioning area through a software algorithm, binarizing the image, adopting a watershed algorithm, and separating a single character by combining prior data in S1:
s3: for the segmented characters, because the characters basically accord with the standard shape, a BP neural network is adopted to identify and output the single character.
The invention has the beneficial effects that: the instrument is used for identifying the codes sprayed on the outer ring of the filter membrane instead of human eyes, so that the accuracy and efficiency of identifying English letters and numbers on the filter membrane are improved, and the English letters and numbers are provided for weighing equipment, and the filter membrane is conveniently encoded according to the ID.
Drawings
FIG. 1 is a block diagram of the present invention;
FIG. 2 is a diagram of the present invention after passing through a character region positioning module;
FIG. 3 is a diagram of the present invention after passing through a character segmentation module;
FIG. 4 is a diagram of the present invention after passing through a character recognition module;
in the figure, the position of the upper end of the main shaft,
1. an image acquisition module; 2. an OCR recognition module; 3. a main control module; 4. a weighing device; 5. An image preprocessing module; 6. a character area positioning module; 7. a character extraction module; 8. a character segmentation module; 9. and a character recognition module.
Detailed Description
As shown in fig. 1, the present invention includes: the device comprises an image acquisition module 1 and an OCR recognition module 2, wherein the image acquisition module 1 sends data to the OCR recognition module 2, the image acquisition module 1 and the OCR recognition module 2 are respectively interacted with a main control module 3, and the main control module 3 sends the data to a weighing device 4;
the OCR recognition module 2 sequentially comprises an image preprocessing module 5, a character area positioning module 6 and a character extraction module 7;
the character extraction module 7 comprises a character segmentation module 8 and a character recognition module 9 in sequence.
Adopt above-mentioned structure, discern the english letter and the digit of filter membrane outer lane, substitute personnel and read the digit, avoid the error of production, can mention simultaneously and read efficiency and precision, guarantee that later stage weighing equipment encodes the filter membrane according to this ID.
As shown in fig. 2, in this embodiment, it is preferable that the character region locating module 6 sequentially includes a median filter, a Harris corner detecting unit, and an expansion erosion image unit, and the character region locating module 6 sends data to the character segmentation module 8.
Through the units, the rectangular area and the inclination angle of the character string can be favorably positioned, and the position of the character string can be positioned.
As shown in fig. 3, in the present embodiment, it is preferable that the character segmentation module 8 performs binarization processing on the image by using a watershed algorithm.
The image is binarized by the watershed algorithm, so that individual characters can be conveniently separated, and preparation is made for a next character recognition module 9.
As shown in fig. 4, in the present embodiment, it is preferable that the character recognition module 9 recognizes a single character by using a BP neural network.
After the single character is separated according to the previous step, because the character basically conforms to the standard shape, the single character is identified by adopting the bp neural network, which is beneficial to extracting the character.
In this embodiment, the image capturing module 1 preferably captures the surface of the filter film on which the code ID is sprayed by using a camera or a video camera.
The camera or the camera is arranged, so that the shooting precision is improved, and the powerful support is improved for the later image character recognition.
In this embodiment, the image acquisition module 1 is preferably connected to an external display.
Set up external display, at image acquisition's in-process, can synchronous real-time display this moment the picture of gathering in the position of character, do benefit to the location in later stage.
In this embodiment, a light supplement device is preferably provided on one side of the camera or the camera.
The light supplementing device is arranged, so that the applicability of the invention is improved, the operation under different environments is facilitated, and the consistency of the obtained result and the accuracy of character recognition are ensured.
In use, the process of filter ID image identification is as follows:
s1: firstly, preprocessing a shot filter membrane picture by software, positioning character areas, positioning the areas with characters, cutting the image, detecting a harris angular point algorithm of the image by adopting a median filtering algorithm in the process, then performing expansion corrosion on the image, positioning a rectangular area and an inclination angle of a character string according to prior data, and positioning the position of the character string;
s2: segmenting the characters in the positioning area through a software algorithm, binarizing the image, adopting a watershed algorithm, and separating a single character by combining prior data in S1:
s3: for the segmented characters, because the characters basically accord with the standard shape, a BP neural network is adopted to identify and output the single character.
The above-described embodiments are merely illustrative of the principles and utilities of the present patent application and are not intended to limit the present patent application. Modifications and variations can be made to the above-described embodiments by those skilled in the art without departing from the spirit and scope of this patent application. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical concepts disclosed in the present application shall be covered by the claims of this patent application.
Claims (7)
1. A filter membrane ID image recognition system is characterized by comprising an image acquisition module (1) and an OCR recognition module (2), wherein the image acquisition module (1) sends data to the OCR recognition module (2), the image acquisition module (1) and the OCR recognition module (2) are respectively interacted with a main control module (3), and the main control module (3) sends the data to a weighing device (4);
the OCR recognition module (2) sequentially comprises an image preprocessing module (5), a character area positioning module (6) and a character extraction module (7);
the character extraction module (7) sequentially comprises a character segmentation module (8) and a character recognition module (9).
2. The filter ID image identification system of claim 1, wherein: the character region positioning module (6) sequentially comprises a median filter, a Harris corner detection unit and an expansion corrosion image unit, and the character region positioning module (6) sends data to the character segmentation module (8).
3. The filter ID image identification system of claim 2, wherein: the character segmentation module (8) carries out binarization processing on the image by adopting a watershed algorithm.
4. The filter ID image identification system of claim 3, wherein: preferably, in the implementation, the character recognition module (9) adopts a BP neural network to recognize single characters.
5. The filter ID image identification system of claim 4, wherein: the image acquisition module (1) adopts a camera or a pick-up head to shoot one surface of the filter membrane sprayed with the code ID.
6. The filter ID image identification system of claim 5, wherein: the image acquisition module (1) is connected to an external display.
7. The filter ID image identification system of claim 6, wherein: and a light supplementing device is arranged on one side of the camera or the camera.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810736643.0A CN110689017A (en) | 2018-07-06 | 2018-07-06 | Filter membrane ID image recognition system |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810736643.0A CN110689017A (en) | 2018-07-06 | 2018-07-06 | Filter membrane ID image recognition system |
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| CN110689017A true CN110689017A (en) | 2020-01-14 |
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104102912A (en) * | 2013-04-02 | 2014-10-15 | 秦海勇 | Sub-item metering energy consumption data collection device based on video image identification and method thereof |
| US20160012288A1 (en) * | 2013-02-28 | 2016-01-14 | Glory Ltd. | Character recognition method and character recognition system |
| CN105868756A (en) * | 2016-03-22 | 2016-08-17 | 武汉蓝焰自动化应用技术有限责任公司 | Gas meter counter direct reading system and direct reading method by applying digital image recognition technology |
| CN206133602U (en) * | 2016-06-28 | 2017-04-26 | 康姆德润达（无锡）测量技术有限公司 | Filter membrane code recognition system |
| CN106874910A (en) * | 2017-01-19 | 2017-06-20 | 广州优库电子有限公司 | The self-service meter reading terminal of low-power consumption instrument long-distance and method based on OCR identifications |
| WO2018018788A1 (en) * | 2016-07-29 | 2018-02-01 | 深圳友讯达科技股份有限公司 | Image recognition-based meter reading apparatus and method thereof |
-
2018
- 2018-07-06 CN CN201810736643.0A patent/CN110689017A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160012288A1 (en) * | 2013-02-28 | 2016-01-14 | Glory Ltd. | Character recognition method and character recognition system |
| CN104102912A (en) * | 2013-04-02 | 2014-10-15 | 秦海勇 | Sub-item metering energy consumption data collection device based on video image identification and method thereof |
| CN105868756A (en) * | 2016-03-22 | 2016-08-17 | 武汉蓝焰自动化应用技术有限责任公司 | Gas meter counter direct reading system and direct reading method by applying digital image recognition technology |
| CN206133602U (en) * | 2016-06-28 | 2017-04-26 | 康姆德润达（无锡）测量技术有限公司 | Filter membrane code recognition system |
| WO2018018788A1 (en) * | 2016-07-29 | 2018-02-01 | 深圳友讯达科技股份有限公司 | Image recognition-based meter reading apparatus and method thereof |
| CN106874910A (en) * | 2017-01-19 | 2017-06-20 | 广州优库电子有限公司 | The self-service meter reading terminal of low-power consumption instrument long-distance and method based on OCR identifications |
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